Get

Álgebra Cálculo Combinatoria y teoría de grafos Estadística y probabilidad Matemáticas aplicadas Material didáctico y consulta Geometría Teoría matemática Filosofía e historia de las matemáticas

Biostatistics: A Causal Introduction


Reseña del editor This text uniquely provides an introduction to biostatistics from the perspective of causal inference. It is broad in coverage, notably of concepts rather than theoretical details. The book includes a large number of figures and real examples to illustrate the topics. Some SAS codes are included for implementation of the methods. The text also contains exercises throughout to enable use as a primary course textbook or for self-study.

Biostatistics: A Causal Introduction: Amazon.es: Yasutaka Chiba, Kentaro Sakamaki, Masataka Taguri: Libros en idiomas extranjeros
Biostatistics: A Causal Introduction: Amazon.es: Yasutaka Chiba, Kentaro Sakamaki, Masataka Taguri: Libros en idiomas extranjeros
Yasutaka Chiba, Kentaro Sakamaki, Masataka Taguri,Biostatistics: A Causal Introduction,Chapman and Hall/CRC,1498702821,MATHEMATICS / Probability & Statistics / General,MEDICAL / Biostatistics,MEDICAL / Epidemiology,Medical/Biostatistics,Medical/Epidemiology,Epidemiology & medical statistics,Probability & statistics,ANF: Mathematics,Non-Fiction,Science/Math,TEXT


SHOP NOW AMAZON


Oferta Del Día


Correlation and causality | Statistical studies | Probability and Statistics | Khan Academy

Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise) Practice this lesson ...

What Is Statistics: Crash Course Statistics #1

Welcome to Crash Course Statistics! In this series we're going to take a look at the important role statistics play in our everyday lives, because statistics are ...

Causation vs Association, and an Introduction to Experiments (3.1)

Learn the difference between causation and association, and know why we use experiments Get access to practice questions, written summaries, and ...

Understanding Statistical Inference

The most difficult concept in statistics is that of inference. This video explains what statistical inference is and gives memorable examples.

A brief introduction to robust statistics

This video was created as part of a job interview process - I'm setting it free. The slides are here: http://garthtarr.com/pres/RobIntro Note that you may need to ...

Types of statistical studies | Statistical studies | Probability and Statistics | Khan Academy

Practice this lesson yourself on KhanAcademy.org right now: ...

Introduction to Correlation & Regression, Part 1

Introduction to Correlation & Regression.

Regression: Crash Course Statistics #32

Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to ...

Causality for medical statistics

Causality, interaction and observational studies David Cox, Nuffield College, Oxford Causal inference with 0%, 50% and 100% invalid instruments Jack Bowden ...

Types of statistical studies | Study design | AP Statistics | Khan Academy

Types of statistical studies. View more lessons or practice this subject at ...

Techniques for random sampling and avoiding bias | Study design | AP Statistics | Khan Academy

Techniques for random sampling and avoiding bias. View more lessons or practice this subject at ...

Boerhaave CME - LUMC - Basic methods and reasoning in Biostatistics

The LUMC course 'Basic Methods and Reasoning in Biostatistics' covers the fundamental toolbox of biostatistical methods plus a solid methodological basis to ...

Basic Biostatistics - U2-L30 : Linear Regression - 2

جامعة الملك خالد - عمادة التعلم الالكتروني المقررات المفتوحة أساسيات الإحصاء الحيوي - 141طبع Basic Biostatistics الوح...

Introduction to Causal Inference: Philosophy, Framework and Key Methods PART ONE

Keynote Speaker: Dr. Erica Moodie, McGill University.

Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3

Today we're going to talk about measures of central tendency - those are the numbers that tend to hang out in the middle of our data: the mean, the median, and ...

1. Regression Introduction

This is the first video in a series by Frank Harrell that serves as prerequisites for his Regression Modeling Strategies course that goes along with his book by that ...

Epidemiology - DAGs and the Collider Bias

a brief explanation for why a collider introduces bias. I got this example from this paper, check it out: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846442/

Biostatistics Short Course Lecture 4 - Selecting Statistical Tests

How to select proper statistical tests.

Copyright © 2016 by es.NewsJS