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Titlebook: Methods in Health Services Research; Boris Sobolev,Constantine Gatsonis Living reference work 2020Latest edition Access to care.Comparati

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樓主: Waterproof
31#
發(fā)表于 2025-3-26 22:58:08 | 只看該作者
32#
發(fā)表于 2025-3-27 02:00:56 | 只看該作者
Living reference work 2020Latest editionsing need for comprehensive, yet balanced, information in a field that welcomes various disciplines: medicine, public health, statistics, economics, management, policy, and information technology. This well-organized reference is an indispensable source of information for everyone who seeks to devel
33#
發(fā)表于 2025-3-27 09:04:55 | 只看該作者
Analysis of Repeated Measures and Longitudinal Data in Health Services Research, Care (WECare) study, a longitudinal depression treatment study. Finally, extensions and alternatives to these models are briefly described. Key phrases: mixed-effects models; random-effects models; covariance-pattern models; effect sizes.
34#
發(fā)表于 2025-3-27 10:47:30 | 只看該作者
35#
發(fā)表于 2025-3-27 15:03:20 | 只看該作者
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發(fā)表于 2025-3-27 21:05:21 | 只看該作者
37#
發(fā)表于 2025-3-27 23:16:37 | 只看該作者
38#
發(fā)表于 2025-3-28 04:08:42 | 只看該作者
Data Confidentiality,rol aim to thwart potential disclosures of private information while still allowing researchers the ability to use the data. This chapter presents a survey of the main types of potential disclosure risks, an overview of the widely used disclosure control methods, and the most common techniques for measuring privacy.
39#
發(fā)表于 2025-3-28 10:00:30 | 只看該作者
2511-8293 on, financing, delivery, utilization and outcomes of health services; Get an introduction to methods of comparative effectiveness research, program evaluation, health technology assessment and health economics;978-1-4939-6704-9
40#
發(fā)表于 2025-3-28 13:47:25 | 只看該作者
Instrumental Variable Analysis,hapter discusses the types of causal effects that can be estimated by instrumental variable analysis, the assumptions needed for instrumental variable analysis to provide valid estimates of causal effects and sensitivity analysis for those assumptions, methods of estimation of causal effects using i
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