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Noemi Kreif

Personal Details

First Name:Noemi
Middle Name:
Last Name:Kreif
Suffix:
RePEc Short-ID:pkr257
[This author has chosen not to make the email address public]

Affiliation

(90%) Centre for Health Economics
Department of Economics and Related Studies
University of York

York, United Kingdom
https://www.york.ac.uk/che/
RePEc:edi:chyoruk (more details at EDIRC)

(10%) Department of Economics and Related Studies
University of York

York, United Kingdom
http://www.york.ac.uk/economics/
RePEc:edi:deyoruk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kreif, Noémi & Grieve, Richard & Hangartner, Dominik & Turner, Alex James & Nikolova, Silviya & Sutton, Matt, 2016. "Examination of the synthetic control method for evaluating health policies with multiple treated units," LSE Research Online Documents on Economics 65074, London School of Economics and Political Science, LSE Library.
  2. Kreif, N. & Grieve, R. & Díaz, I. & Harrison, D., 2014. "Health econometric evaluation of the effects of a continuous treatment: a machine learning approach," Health, Econometrics and Data Group (HEDG) Working Papers 14/19, HEDG, c/o Department of Economics, University of York.

Articles

  1. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
  2. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
  3. K. Ishak & Noemi Kreif & Agnes Benedict & Noemi Muszbek, 2013. "Overview of Parametric Survival Analysis for Health-Economic Applications," PharmacoEconomics, Springer, vol. 31(8), pages 663-675, August.
  4. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
  5. Radice Rosalba & Ramsahai Roland & Grieve Richard & Kreif Noemi & Sadique Zia & Sekhon Jasjeet S., 2012. "Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-45, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Kreif, Noémi & Grieve, Richard & Hangartner, Dominik & Turner, Alex James & Nikolova, Silviya & Sutton, Matt, 2016. "Examination of the synthetic control method for evaluating health policies with multiple treated units," LSE Research Online Documents on Economics 65074, London School of Economics and Political Science, LSE Library.

    Mentioned in:

    1. Method of the month: Synthetic control
      by Sam Watson in The Academic Health Economists' Blog on 2017-11-02 12:00:00
    2. Method of the month: Permutation tests
      by Sam Watson in The Academic Health Economists' Blog on 2019-02-20 09:00:22
  2. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.

    Mentioned in:

    1. Method of the month: Synthetic control
      by Sam Watson in The Academic Health Economists' Blog on 2017-11-02 12:00:00
    2. Method of the month: Permutation tests
      by Sam Watson in The Academic Health Economists' Blog on 2019-02-20 09:00:22

Working papers

  1. Kreif, Noémi & Grieve, Richard & Hangartner, Dominik & Turner, Alex James & Nikolova, Silviya & Sutton, Matt, 2016. "Examination of the synthetic control method for evaluating health policies with multiple treated units," LSE Research Online Documents on Economics 65074, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Roxanne Kovacs & Maurice Dunaiski & Janne Tukiainen, 2020. "Compulsory face mask policies do not affect community mobility in Germany," Discussion Papers 136, Aboa Centre for Economics.
    2. Matthew A Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Discussion Papers 20-09, Department of Economics, University of Birmingham.
    3. Roesel, Felix, 2017. "Do mergers of large local governments reduce expenditures? - Evidence from Germany using the synthetic control method," CEPIE Working Papers 16/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    4. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "The Augmented Synthetic Control Method," NBER Working Papers 28885, National Bureau of Economic Research, Inc.
    5. Daria Denti & Simona Iammarino, 2020. "Coming out of the woods. Do local support services influence the propensity to report sexual violence?," Discussion Paper series in Regional Science & Economic Geography 2020-03, Gran Sasso Science Institute, Social Sciences, revised Jun 2020.
    6. Xiangfei Ma & Yifan Ruan & Qiying Yang, 2023. "Evaluating China’s Common Prosperity Policies against the Background of Green Development by Using the PMC Model," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    7. Timo Mitze & Reinhold Kosfeld & Johannes Rode & Klaus Wälde, 2020. "Face Masks Considerably Reduce Covid-19 Cases in Germany," Working Papers 2016, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    8. Nicholas Illenberger & Dylan S. Small & Pamela A. Shaw, 2019. "Regression to the Mean's Impact on the Synthetic Control Method: Bias and Sensitivity Analysis," Papers 1909.04706, arXiv.org.
    9. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2019. "Synthetic Controls with Staggered Adoption," Papers 1912.03290, arXiv.org, revised Jan 2021.
    10. Timo Mitze & Reinhold Kosfeld & Johannes Rode & Klaus Wälde, 2020. "Face Masks Considerably Reduce Covid-19 Cases in Germany - A Synthetic Control Method Approach," CESifo Working Paper Series 8479, CESifo.
    11. Ferman, Bruno & Pinto, Cristine Campos de Xavier & Possebom, Vítor Augusto, 2016. "Cherry picking with synthetic controls," Textos para discussão 420, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    12. Olper, Alessandro & Curzi, Daniele & Swinnen, Jo, 2015. "Trade Liberalization and Child Mortality: A Synthetic Control Method," 2015 Conference, August 9-14, 2015, Milan, Italy 212597, International Association of Agricultural Economists.
    13. Lizhong Peng, 2017. "How Does Medicaid Expansion Affect Premiums in the Health Insurance Marketplaces? New Evidence from Late Adoption in Pennsylvania and Indiana," American Journal of Health Economics, MIT Press, vol. 3(4), pages 550-576, Fall.
    14. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    15. Myoung-jae Lee & Yasuyuki Sawada, 2020. "Review on Difference in Differences," Korean Economic Review, Korean Economic Association, vol. 36, pages 135-173.
    16. Becker, Maike & Pfeifer, Gregor & Schweikert, Karsten, 2021. "Price Effects of the Austrian Fuel Price Fixing Act: A Synthetic Control Study," Energy Economics, Elsevier, vol. 97(C).
    17. Robbiano, Simone, 2022. "The innovative impact of public research institutes: Evidence from Italy," Research Policy, Elsevier, vol. 51(10).
    18. Kovacs, Roxanne J. & Dunaiski, Maurice & Tukiainen, Janne, 2023. "The effect of compulsory face mask policies on community mobility in Germany," LSE Research Online Documents on Economics 120492, London School of Economics and Political Science, LSE Library.
    19. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    20. Geoffroy Enjolras & Magali Aubert, 2020. "How does crop insurance influence pesticide use? Evidence from French farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 461-485, December.
    21. Price, Sarah & Zhang, Xiaohui & Spencer, Anne, 2020. "Measuring the impact of national guidelines: What methods can be used to uncover time-varying effects for healthcare evaluations?," Social Science & Medicine, Elsevier, vol. 258(C).
    22. Søren Rud Kristensen, 2017. "Financial Penalties for Performance in Health Care," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 143-148, February.
    23. Lina Maria Ellegård & Jens Dietrichson & Anders Anell, 2018. "Can pay‐for‐performance to primary care providers stimulate appropriate use of antibiotics?," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 39-54, January.
    24. Christoph F. Kurz & Martin Rehm & Rolf Holle & Christina Teuner & Michael Laxy & Larissa Schwarzkopf, 2019. "The effect of bariatric surgery on health care costs: A synthetic control approach using Bayesian structural time series," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1293-1307, November.
    25. Taylor K. Odle, 2022. "Free to Spend? Institutional Autonomy and Expenditures on Executive Compensation, Faculty Salaries, and Research Activities," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(1), pages 1-32, February.
    26. Matej Opatrny, 2021. "The impact of the Brexit vote on UK financial markets: a synthetic control method approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 559-587, May.
    27. Yashar Blouri & Maximilian v. Ehrlich, 2017. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Diskussionsschriften dp1702, Universitaet Bern, Departement Volkswirtschaft.
    28. Christopher J. Chen & Nitish Jain & S. Alex Yang, 2023. "The Impact of Trade Credit Provision on Retail Inventory: An Empirical Investigation Using Synthetic Controls," Management Science, INFORMS, vol. 69(8), pages 4591-4608, August.
    29. Ranjeeta Thomas & Laia Cirera & Joe Brew & Francisco Saúte & Elisa Sicuri, 2021. "The short‐term impact of a malaria elimination initiative in Southern Mozambique: Application of the synthetic control method to routine surveillance data," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2168-2184, September.
    30. Jones, Benjamin A., 2018. "Spillover health effects of energy efficiency investments: Quasi-experimental evidence from the Los Angeles LED streetlight program," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 283-299.
    31. Ben Katoka & Huck‐ju Kwon, 2021. "A Paradox of New Deal and Foreign Aid for Fragile States in Sub‐Saharan Africa," Global Policy, London School of Economics and Political Science, vol. 12(5), pages 639-652, November.
    32. Kwon, Seokbeom & Marco, Alan C., 2021. "Can antitrust law enforcement spur innovation? Antitrust regulation of patent consolidation and its impact on follow-on innovations," Research Policy, Elsevier, vol. 50(9).
    33. Camilla Beck Olsen & Hans Olav Melberg, 2018. "Did adolescents in Norway respond to the elimination of copayments for general practitioner services?," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1120-1130, July.
    34. Alexander S. Skorobogatov, 2021. "The effect of alcohol sales restrictions on alcohol poisoning mortality: Evidence from Russia," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1417-1442, June.
    35. Daniel Albalate & Germà Bel, 2018. "“Do government formation deadlocks damage economic growth? Evidence from history’s longest period of political deadlock”," IREA Working Papers 201817, University of Barcelona, Research Institute of Applied Economics, revised Jul 2018.
    36. Brett Parker, 2021. "Death Penalty Statutes and Murder Rates: Evidence From Synthetic Controls," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(3), pages 488-533, September.
    37. Kuan‐Ming Huang & Xiaoli Etienne, 2021. "Impact of Marcellus and Utica shale exploitation on Ohio, Pennsylvania, and West Virginia Regional Economies: A synthetic control analysis," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1449-1479, December.
    38. Matej Opatrny, 2016. "Quantifying the Effects of the CNB's Exchange Rate Commitment: A Synthetic Control Method Approach," Working Papers IES 2016/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2016.
    39. Robbiano, Simone, 2021. "The innovative impact of public research institutes: evidence from Italy," MPRA Paper 106386, University Library of Munich, Germany.
    40. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    41. Maamoun, Nada, 2019. "The Kyoto protocol: Empirical evidence of a hidden success," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 227-256.
    42. Ferman, Bruno & Pinto, Cristine, 2016. "Revisiting the Synthetic Control Estimator," MPRA Paper 73982, University Library of Munich, Germany.
    43. Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
    44. Daniel Steffen, 2017. "The Effect of a Second Home Construction Ban on Real Estate Prices," Diskussionsschriften credresearchpaper18, Universitaet Bern, Departement Volkswirtschaft - CRED.
    45. Gaughan, James & Gutacker, Nils & Grašič, Katja & Kreif, Noemi & Siciliani, Luigi & Street, Andrew, 2019. "Paying for efficiency: incentivising same-day discharges in the English NHS," LSE Research Online Documents on Economics 101650, London School of Economics and Political Science, LSE Library.
    46. López-Cazar, Ibeth & Papyrakis, Elissaios & Pellegrini, Lorenzo, 2021. "The Extractive Industries Transparency Initiative (EITI) and corruption in Latin America: Evidence from Colombia, Guatemala, Honduras, Peru, and Trinidad and Tobago," Resources Policy, Elsevier, vol. 70(C).
    47. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    48. Christian Kümpel, 2019. "Do financial incentives influence the hospitalization rate of nursing home residents? Evidence from Germany," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1235-1247, November.
    49. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    50. Amos Z. B. Flomo & Elissaios Papyrakis & Natascha Wagner, 2023. "Evaluating the economic effects of the Ebola virus disease in Liberia: A synthetic control approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1478-1504, August.
    51. Scheifele, F. & Bräuning, M. & Probst, B., 2022. "The impact of local content requirements on the development of export competitiveness in solar and wind technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    52. Fredriksen, Kaja & Runst, Petrik, 2018. "Are estimates of the "natural experiment" in the German crafts sector causal?," ifh Working Papers 16/2018, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    53. Olexiy Kyrychenko, 2021. "The Impact of the Crisis-inducted Reduction in Air Pollution on Infant Mortality in India: A Policy Perspective," CERGE-EI Working Papers wp702, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    54. Alena Bachleitner, 2017. "Abolishing the Wealth Tax. A Case Study for Germany," WIFO Working Papers 545, WIFO.
    55. Nikolova, Milena, 2018. "Self-Employment Can Be Good for Your Health," GLO Discussion Paper Series 226, Global Labor Organization (GLO).
    56. Gius, Mark, 2019. "Using the synthetic control method to determine the effects of concealed carry laws on state-level murder rates," International Review of Law and Economics, Elsevier, vol. 57(C), pages 1-11.
    57. Gius, Mark, 2020. "Examining the impact of child access prevention laws on youth firearm suicides using the synthetic control method," International Review of Law and Economics, Elsevier, vol. 63(C).
    58. Ngo, Diana K.L. & Bauhoff, Sebastian, 2021. "The medium-run and scale-up effects of performance-based financing: An extension of Rwanda’s 2006 trial using secondary data," World Development, Elsevier, vol. 139(C).
    59. Muhammad Jehangir Amjad & Devavrat Shah & Dennis Shen, 2017. "Robust Synthetic Control," Papers 1711.06940, arXiv.org.
    60. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    61. Christl, Michael, 2020. "The Labour Market Effects of a Refugee Wave. A Replication Study of Peri and Yasenov (Journal of Human Resources, 2019)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 4(2020-4), pages 1-15.
    62. Cil, Gulcan, 2017. "Effects of posted point-of-sale warnings on alcohol consumption during pregnancy and on birth outcomes," Journal of Health Economics, Elsevier, vol. 53(C), pages 131-155.
    63. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.
    64. Tomasz Serwach, 2023. "The European Union and within‐country income inequalities. The case of the new member states," The World Economy, Wiley Blackwell, vol. 46(7), pages 1890-1939, July.
    65. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    66. Jianfei Cao & Shirley Lu, 2019. "Synthetic Control Inference for Staggered Adoption: Estimating the Dynamic Effects of Board Gender Diversity Policies," Papers 1912.06320, arXiv.org.
    67. Gabrielle Pepin, 2020. "The Effects of Welfare Time Limits on Access to Financial Resources: Evidence from the 2010s," Upjohn Working Papers 20-329, W.E. Upjohn Institute for Employment Research.
    68. Chen, Jiandong & Huang, Shasha & Shen, Zhiyang & Song, Malin & Zhu, Zunhong, 2022. "Impact of sulfur dioxide emissions trading pilot scheme on pollution emissions intensity: A study based on the synthetic control method," Energy Policy, Elsevier, vol. 161(C).
    69. Emery, Thomas & Mélon, Lela & Spruk, Rok, 2023. "Does e-procurement matter for economic growth? Subnational evidence from Australia," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 318-334.
    70. María José Aragón & Martin Chalkley & Noémi Kreif, 2022. "The long‐run effects of diagnosis related group payment on hospital lengths of stay in a publicly funded health care system: Evidence from 15 years of micro data," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 956-972, June.
    71. Jones, Benjamin A. & Goodkind, Andrew L., 2019. "Urban afforestation and infant health: Evidence from MillionTreesNYC," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 26-44.
    72. Banal-Estañol, Albert & Jofre-Bonet, Mireia & Iori, Giulia & Maynou, Laia & Tumminello, Michele & Vassallo, Pietro, 2023. "Performance-based research funding: Evidence from the largest natural experiment worldwide," Research Policy, Elsevier, vol. 52(6).
    73. Joseph Cummins & Brock Smith & Douglas L. Miller & David Eliot Simon, 2023. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Working papers 2023-07, University of Connecticut, Department of Economics.
    74. Giampiero Marra & Rosalba Radice & David M. Zimmer, 2020. "Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 953-971, August.
    75. Nikolova, Milena, 2019. "Switching to self-employment can be good for your health," Journal of Business Venturing, Elsevier, vol. 34(4), pages 664-691.
    76. Bernardo García Bulle & Dennis Shen & Devavrat Shah & Anette E. Hosoi, 2022. "Public health implications of opening National Football League stadiums during the COVID-19 pandemic," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(14), pages 2114226119-, April.
    77. Mark Gius, 2019. "Using the Synthetic Control Method to Determine the Effect of Ultrasound Laws on State-Level Abortion Rates," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 205-215, June.
    78. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    79. Taylor K. Odle & Jennifer A. Delaney, 2022. "You are Admitted! Early Evidence on Enrollment from Idaho’s Direct Admissions System," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(6), pages 899-932, September.
    80. Ketevani Kapanadze, 2021. "Checkmate! Losing with Borders, Winning with Centers. The Case of European Integration," CERGE-EI Working Papers wp716, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    81. Jaume Puig‐Junoy & Jaime Pinilla, 2020. "Free prescriptions for low‐income pensioners? The cost of returning to free‐of‐charge drugs in the Spanish National Health Service," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1804-1812, December.
    82. Samuel Verevis & Murat Üngör, 2021. "What has New Zealand gained from The FTA with China?: Two counterfactual analyses†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 20-50, February.
    83. Kate W. Strully & Robert Bozick & Ying Huang & Lane F. Burgette, 2020. "Employer Verification Mandates and Infant Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(6), pages 1143-1184, December.

  2. Kreif, N. & Grieve, R. & Díaz, I. & Harrison, D., 2014. "Health econometric evaluation of the effects of a continuous treatment: a machine learning approach," Health, Econometrics and Data Group (HEDG) Working Papers 14/19, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).

Articles

  1. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
    See citations under working paper version above.
  2. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.

    Cited by:

    1. Melissa Newham & Marica Valente, 2023. "The Cost of Influence:How Gifts to Physicians Shape Prescriptions and Drug Costs," Working Papers 2023-03, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Chepchirchir, R. & Macharia, I. & Murage, A.W. & Midega, C.A.O. & Khan, Z.R., 2016. "Impact assessment of push-pull technology on incomes, productivity and poverty among smallholder households in Eastern Uganda," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246316, African Association of Agricultural Economists (AAAE).
    3. Ander Wilson & Corwin M. Zigler & Chirag J. Patel & Francesca Dominici, 2018. "Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression," Biometrics, The International Biometric Society, vol. 74(3), pages 1034-1044, September.
    4. Zachary K. Collier & Walter L. Leite & Allison Karpyn, 2021. "Neural Networks to Estimate Generalized Propensity Scores for Continuous Treatment Doses," Evaluation Review, , vol. 45(1-2), pages 3-33, February.
    5. Stefan Tubbicke, 2020. "Entropy Balancing for Continuous Treatments," Papers 2001.06281, arXiv.org, revised May 2020.
    6. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    7. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
    8. Numair Sani & Yizhen Xu & AmirEmad Ghassami & Ilya Shpitser, 2021. "Multiply Robust Causal Mediation Analysis with Continuous Treatments," Papers 2105.09254, arXiv.org, revised Feb 2024.

  3. K. Ishak & Noemi Kreif & Agnes Benedict & Noemi Muszbek, 2013. "Overview of Parametric Survival Analysis for Health-Economic Applications," PharmacoEconomics, Springer, vol. 31(8), pages 663-675, August.

    Cited by:

    1. Helen Bell Gorrod & Ben Kearns & John Stevens & Praveen Thokala & Alexander Labeit & Nicholas Latimer & David Tyas & Ahmed Sowdani, 2019. "A Review of Survival Analysis Methods Used in NICE Technology Appraisals of Cancer Treatments: Consistency, Limitations, and Areas for Improvement," Medical Decision Making, , vol. 39(8), pages 899-909, November.
    2. Kevin Marsh & Peng Xu & Panagiotis Orfanos & James Gordon & Ingolf Griebsch, 2014. "Model-Based Cost-Effectiveness Analyses for the Treatment of Chronic Lymphocytic Leukaemia: A Review of Methods to Model Disease Outcomes and Estimate Utility," PharmacoEconomics, Springer, vol. 32(10), pages 981-993, October.
    3. Sandjar Djalalov & Jaclyn Beca & Emmanuel M. Ewara & Jeffrey S. Hoch, 2019. "A Comparison of Different Analysis Methods for Reconstructed Survival Data to Inform Cost‑Effectiveness Analysis," PharmacoEconomics, Springer, vol. 37(12), pages 1525-1536, December.
    4. Gabrielle Jongeneel & Marjolein J. E. Greuter & Felice N. Erning & Miriam Koopman & Jan P. Medema & Raju Kandimalla & Ajay Goel & Luis Bujanda & Gerrit A. Meijer & Remond J. A. Fijneman & Martijn G. H, 2020. "Modeling Personalized Adjuvant TreaTment in EaRly stage coloN cancer (PATTERN)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1059-1073, September.
    5. K. Ishak & Irina Proskorovsky & Agnes Benedict, 2015. "Simulation and Matching-Based Approaches for Indirect Comparison of Treatments," PharmacoEconomics, Springer, vol. 33(6), pages 537-549, June.
    6. Kevin Marsh & Peng Xu & Panagiotis Orfanos & Agnes Benedict & Kamal Desai & Ingolf Griebsch, 2014. "Model-Based Cost-Effectiveness Analyses for the Treatment of Chronic Myeloid Leukaemia: A Review and Summary of Challenges," PharmacoEconomics, Springer, vol. 32(9), pages 853-864, September.
    7. John W. Stevens, 2018. "Using Evidence from Randomised Controlled Trials in Economic Models: What Information is Relevant and is There a Minimum Amount of Sample Data Required to Make Decisions?," PharmacoEconomics, Springer, vol. 36(10), pages 1135-1141, October.
    8. Lisa Masucci & Jaclyn Beca & Mona Sabharwal & Jeffrey S. Hoch, 2017. "Methodological Issues in Economic Evaluations Submitted to the Pan-Canadian Oncology Drug Review (pCODR)," PharmacoEconomics - Open, Springer, vol. 1(4), pages 255-263, December.
    9. Xiaomin Wan & Liubao Peng & Yuanjian Li, 2015. "A Review and Comparison of Methods for Recreating Individual Patient Data from Published Kaplan-Meier Survival Curves for Economic Evaluations: A Simulation Study," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-21, March.
    10. Ben Kearns & John Stevens & Shijie Ren & Alan Brennan, 2020. "How Uncertain is the Survival Extrapolation? A Study of the Impact of Different Parametric Survival Models on Extrapolated Uncertainty About Hazard Functions, Lifetime Mean Survival and Cost Effective," PharmacoEconomics, Springer, vol. 38(2), pages 193-204, February.
    11. Eberechukwu Onukwugha & Jason Bergtold & Rahul Jain, 2015. "A Primer on Marginal Effects—Part I: Theory and Formulae," PharmacoEconomics, Springer, vol. 33(1), pages 25-30, January.

  4. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.

    Cited by:

    1. Noemi Kreif & Richard Grieve & Rosalba Radice & Zia Sadique & Roland Ramsahai & Jasjeet S. Sekhon, 2012. "Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data," Medical Decision Making, , vol. 32(6), pages 750-763, November.
    2. Carmen Selva-Sevilla & F Dámaso Fernández-Ginés & Manuel Cortiñas-Sáenz & Manuel Gerónimo-Pardo, 2021. "Cost-effectiveness analysis of domiciliary topical sevoflurane for painful leg ulcers," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-18, September.
    3. Jason R. Guertin & Blanchard Conombo & Raphaël Langevin & Frédéric Bergeron & Anne Holbrook & Brittany Humphries & Alexis Matteau & Brian J. Potter & Christel Renoux & Jean-Éric Tarride & Madelein, 2020. "A Systematic Review of Methods Used for Confounding Adjustment in Observational Economic Evaluations in Cardiology Conducted between 2013 and 2017," Medical Decision Making, , vol. 40(5), pages 582-595, July.
    4. Padraig Dixon & William Hollingworth & Jonathan Benger & James Calvert & Melanie Chalder & Anna King & Stephanie MacNeill & Katherine Morton & Emily Sanderson & Sarah Purdy, 2020. "Observational Cost-Effectiveness Analysis Using Routine Data: Admission and Discharge Care Bundles for Patients with Chronic Obstructive Pulmonary Disease," PharmacoEconomics - Open, Springer, vol. 4(4), pages 657-667, December.
    5. Elizabeth Parody-Rúa & Maria Rubio-Valera & César Guevara-Cuellar & Ainhoa Gómez-Lumbreras & Marc Casajuana-Closas & Cristina Carbonell-Duacastella & Ignacio Aznar-Lou, 2020. "Economic Evaluations Informed Exclusively by Real World Data: A Systematic Review," IJERPH, MDPI, vol. 17(4), pages 1-18, February.
    6. Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares, 2020. "Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1575-1593, October.
    7. Deidda, Manuela & Geue, Claudia & Kreif, Noemi & Dundas, Ruth & McIntosh, Emma, 2019. "A framework for conducting economic evaluations alongside natural experiments," Social Science & Medicine, Elsevier, vol. 220(C), pages 353-361.
    8. Chris Schilling & Dennis Petrie & Michelle M. Dowsey & Peter F. Choong & Philip Clarke, 2017. "The Impact of Regression to the Mean on Economic Evaluation in Quasi‐Experimental Pre–Post Studies: The Example of Total Knee Replacement Using Data from the Osteoarthritis Initiative," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 35-51, December.
    9. Carmen Selva-Sevilla & Elena Conde-Montero & Manuel Gerónimo-Pardo, 2020. "Bayesian Regression Model for a Cost-Utility and Cost-Effectiveness Analysis Comparing Punch Grafting Versus Usual Care for the Treatment of Chronic Wounds," IJERPH, MDPI, vol. 17(11), pages 1-21, May.
    10. Elsa Bouée-Benhamiche & Philippe Jean Bousquet & Salah Ghabri, 2020. "Economic Evaluations of Anticancer Drugs Based on Medico-Administrative Databases: A Systematic Literature Review," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 491-508, August.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HEA: Health Economics (2) 2015-01-03 2016-02-23
  2. NEP-ECM: Econometrics (1) 2015-01-03

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