Advanced Statistics for Health Research

图书简介

Advanced Statistics for Health Research provides a rigorous geometric understanding of models used in the analysis of health data, including linear and non-linear regression models, and supervised machine learning models. Models drawn from the health literature include: ordinary least squares, two-stage least squares, probits, logits, Cox regressions, duration modeling, quantile regression and random forest regression. Causal inference techniques from the health literature are presented including randomization, matching and propensity score matching, differences-in-differences, instrumental variables, regression discontinuity, and fixed effects analysis. Codes for the respective statistical techniques presented are given for STATA, SAS and R.Key Features·Simple geometric figures make causal inference techniques more intuitive·Easy to understand empirical examples are drawn from a broad collection of the health research literature·SAS, Stata, and R codes make implementing regression models straightforward

Getting Started with the Data: Introduction, Statistics, Empirical Rule, and Histograms; Characterizing The Data: Scatterplots and Regressions; Multiple Regression Continued: Standardized Beta Coefficients, Picturing Regressions, Variance Inflation Factor; The Data Generating Process (DGP) That Makes Regressions Important, and How to Do Regressions Badly; Causal Estimates: Randomization, Matching, Instrumental Variables and Their Cousins; Randomization and Causal Frameworks with Regressions: Studies with Randomized Treatments; Studies From Data Involving Matching and Propensity Score Matching; Studies with Instrumental Variable Estimation (Two Stage Least Squares); Studies with Regression Discontinuity; Studies using Difference-In-Differences with Propensity Score Matching; Studies with Panel Data Sets with Initial Randomization; Studies with Panel Data Sets with Fixed Effects and Lags; Studies with Panel Data Techniques using GMM Estimation; Beyond the Continuous, Uncensored Regression Model: Discrete Outcomes, Duration Modeling, Quantile and Random Forest Regressions: Discrete Outcomes and Maximum Likelihood: Probits, Logits, Multinomial and Ordered Logits; ROC Curves and the AUC Metrics, Count Models; Cox Regressions; Parametric Duration Models and Discrete Duration Models; Quantile Regression; Selection In Linear Models, LASSO, and Random Forest Regression; Random Forest Regression Residual Analysis and the Regression Gini Index

Trade Policy 买家须知

关于产品：
● 正版保障：本网站隶属于中国国际图书贸易集团公司，确保所有图书都是100%正版。
● 环保纸张：进口图书大多使用的都是环保轻型张，颜色偏黄，重量比较轻。
● 毛边版：即书翻页的地方，故意做成了参差不齐的样子，一般为精装版，更具收藏价值。
关于退换货：
由于预订产品的特殊性，采购订单正式发订后，买方不得无故取消全部或部分产品的订购。
由于进口图书的特殊性，发生以下情况的，请直接拒收货物，由快递返回：
● 外包装破损/发错货/少发货/图书外观破损/图书配件不全（例如：光盘等）
并请在工作日通过电话400-008-1110联系我们。
签收后，如发生以下情况，请在签收后的5个工作日内联系客服办理退换货：
● 缺页/错页/错印/脱线
关于发货时间：
一般情况下：
●【现货】下单后48小时内由北京（库房）发出快递。
●【预订】【预售】下单后国外发货，到货时间预计5-8周左右，店铺默认中通快递，如需顺丰快递邮费到付。
● 需要开具发票的客户，发货时间可能在上述基础上再延后1-2个工作日（紧急发票需求，请联系010-68433105/3213）；
● 如遇其他特殊原因，对发货时间有影响的，我们会第一时间在网站公告，敬请留意。
关于到货时间：
由于进口图书入境入库后，都是委托第三方快递发货，所以我们只能保证在规定时间内发出，但无法为您保证确切的到货时间。
● 主要城市一般2-4天
● 偏远地区一般4-7天
关于接听咨询电话的时间：
010-68433105/3213正常接听咨询电话的时间为：周一至周五上午8：30～下午5：00，周六、日及法定节假日休息，将无法接听来电，敬请谅解。
其它时间您也可以通过邮件联系我们：customer@readgo.cn,工作日会优先处理。
关于快递：
● 已付款订单：主要由中通、宅急送负责派送，订单进度查询请拨打010-68433105/3213。

Advanced Statistics for Health Research 健康研究*统计 医学生物化学

Advanced Statistics for Health Research

健康研究统计
医学生物化学*