Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Johns Hopkins University with John McGready
WEBRip | English | MP4 | 960 x 540 | AVC ~40 kbps | 29.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 13:21:14 | 1.05 GB
Genre: eLearning Video / Statistics & Probability
Johns Hopkins University with John McGready
WEBRip | English | MP4 | 960 x 540 | AVC ~40 kbps | 29.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 13:21:14 | 1.05 GB
Genre: eLearning Video / Statistics & Probability
A practical and example filled tour of simple and multiple regression techniques (linear, logistic, and Cox PH) for estimation, adjustment and prediction.Syllabus
Introduction and Module 1A: Simple Regression Methods
In this module, a unified structure for simple regression models will be presented, followed by detailed treatises and examples of both simple linear and logistic models.
Module 1B: More Simple Regression Methods
In this model, more detail is given regarding Cox regression, and it's similarities and differences from the other two regression models from module 1A. The basic structure of the model is detailed, as well as its assumptions, and multiple examples are presented.
Module 2A: Confounding and Effect Modification (Interaction)
This module, along with module 2B introduces two key concepts in statistics/epidemiology, confounding and effect modification. A relation between an outcome and exposure of interested can be confounded if a another variable (or variables) is associated with both the outcome and the exposure. In such cases the crude outcome/exposure associate may over or under-estimate the association of interest. Confounding is an ever-present threat in non-randomized studies, but results of interest can be adjusted for potential confounders.
Module 2B: Effect Modification (Interaction
Effect modification (Interaction), unlike confounding, is a phenomenon of "nature" and cannot be controlled by study design choice. However, it can be investigated in a manner similar to that of confounding. This set of lectures will define and give examples of effect modification, and compare and contrast it with confounding.
Module 3A: Multiple Regression Methods
This module extends linear and logistic methods to allow for the inclusion of multiple predictors in a single regression model.
Module 3B: More Multiple Regression Methods
This set of lectures extends the techniques debuted in lecture set 3 to allow for multiple predictors of a time-to-event outcome using a single, multivariable regression model.
Module 4: Additional Topics in Regression
also You can watch my other last: Coursera-posts
General
Complete name : 02_Lecture_8a-_Multiple_Cox_PH_Regression-_Some_Examples_18-57.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom
File size : 24.0 MiB
Duration : 18mn 57s
Overall bit rate : 177 Kbps
Writing application : Lavf55.19.104
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L3.1
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 18mn 57s
Bit rate : 40.0 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.003
Stream size : 5.43 MiB (23%)
Writing library : x264 core 138
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / lookahead_threads=2 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Language : English
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 18mn 57s
Bit rate mode : Constant
Bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 KHz
Compression mode : Lossy
Stream size : 17.4 MiB (72%)
Language : English
Complete name : 02_Lecture_8a-_Multiple_Cox_PH_Regression-_Some_Examples_18-57.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom
File size : 24.0 MiB
Duration : 18mn 57s
Overall bit rate : 177 Kbps
Writing application : Lavf55.19.104
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L3.1
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 18mn 57s
Bit rate : 40.0 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.003
Stream size : 5.43 MiB (23%)
Writing library : x264 core 138
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / lookahead_threads=2 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Language : English
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 18mn 57s
Bit rate mode : Constant
Bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 KHz
Compression mode : Lossy
Stream size : 17.4 MiB (72%)
Language : English
Screenshots
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Statistical Reasoning for Public Health 2: Regression Methods (2017)
Exclusive eLearning Videos ParRus-blog ← add to bookmarks
Statistical Reasoning for Public Health 2: Regression Methods (2017)
