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biostatistics and epidemiology with R

Biostatistics and epidemiology with R. Wednesday, February 6, 2013. Weighted Logistic Regression in R, SPSS, Stata. We will use mtcars dataset to illustrate. (R version 2.5.1. Mtcars - as.data.frame(mtcars). Mtcars2 - mtcars[c(am, hp, wt, p)]. 160; am hp wt p. Mazda RX4 1 110 2.620 0.8901532. Mazda RX4 Wag 1 110 2.875 0.4601596. Datsun 710 1 93 2.320 0.9779983. Hornet 4 Drive 0 110 3.215 0.6889322. Sunday, March 4, 2012. Timevar - veteran[,3] .

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Biostatistics and epidemiology with R. Wednesday, February 6, 2013. Weighted Logistic Regression in R, SPSS, Stata. We will use mtcars dataset to illustrate. (R version 2.5.1. Mtcars - as.data.frame(mtcars). Mtcars2 - mtcars[c(am, hp, wt, p)]. 160; am hp wt p. Mazda RX4 1 110 2.620 0.8901532. Mazda RX4 Wag 1 110 2.875 0.4601596. Datsun 710 1 93 2.320 0.9779983. Hornet 4 Drive 0 110 3.215 0.6889322. Sunday, March 4, 2012. Timevar - veteran[,3] .

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2 data mtcars

3 mtcars$p runif nrow mtcars

4 create weights

5 head mtcars2

6 posted by

7 ehsan karim

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biostatistics and epidemiology with R | bio-statisticians.blogspot.com Reviews

https://bio-statisticians.blogspot.com

Biostatistics and epidemiology with R. Wednesday, February 6, 2013. Weighted Logistic Regression in R, SPSS, Stata. We will use mtcars dataset to illustrate. (R version 2.5.1. Mtcars - as.data.frame(mtcars). Mtcars2 - mtcars[c(am, hp, wt, p)]. 160; am hp wt p. Mazda RX4 1 110 2.620 0.8901532. Mazda RX4 Wag 1 110 2.875 0.4601596. Datsun 710 1 93 2.320 0.9779983. Hornet 4 Drive 0 110 3.215 0.6889322. Sunday, March 4, 2012. Timevar - veteran[,3] .

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biostatistics and epidemiology with R: September 2011

http://bio-statisticians.blogspot.com/2011_09_01_archive.html

Biostatistics and epidemiology with R. Tuesday, September 13, 2011. Y-axis on both sides in Kaplan-Meier Survival Curve. Here is an example of how to draw Y-axis on both sides in Kaplan-Meier Survival Curve, with same label, axis-titles and positions. This should work for the general plots as well. Subscribe to: Posts (Atom). Y-axis on both sides in Kaplan-Meier Survival Curv. Amazon Contextual Product Ads. Simple theme. Theme images by luoman.

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biostatistics and epidemiology with R: Nested case-control study

http://bio-statisticians.blogspot.com/2011/07/nested-case-control-study.html

Biostatistics and epidemiology with R. Wednesday, July 20, 2011. Nested case-control study can be described as follows: for. Function and survival package. Function (among others) that can perform conditional logistic regression (which is equivalent to Cox's proportional hazards model with conditioning at time of event occurrence that has baseline hazards instead of intercept in the model) required for analyzing nested case-control study data. Naturally, clogit. Is basically a wrapper for coxph. Coxph(Su...

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biostatistics and epidemiology with R: July 2011

http://bio-statisticians.blogspot.com/2011_07_01_archive.html

Biostatistics and epidemiology with R. Wednesday, July 20, 2011. Nested case-control study can be described as follows: for. Subscribe to: Posts (Atom). Amazon Contextual Product Ads. Simple theme. Theme images by luoman.

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biostatistics and epidemiology with R: Conditional estimates for OR

http://bio-statisticians.blogspot.com/2011/01/conditional-estimates-for-or.html

Biostatistics and epidemiology with R. Wednesday, January 26, 2011. Conditional estimates for OR. When two independent samples from separate population are collected, a product binomial likelihood can be used. However, conditioning on margins, a different formulation is achieved, as follows (shai being population OR):. For shai = 1 under null hypothesis, the above expression is exactly the same as Fisher-Irwin exact test. More simplification reduces the likelihood to this Lc = (n1! P-value = 0.01075.

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biostatistics and epidemiology with R: Why log(RR) instead of RR?

http://bio-statisticians.blogspot.com/2011/01/more-about-risk-ratio.html

Biostatistics and epidemiology with R. Wednesday, January 26, 2011. Why log(RR) instead of RR? As an example of how the variances of difference measures are calculated, the derivation of approximate variance or SE for RR is shown as follows (uses multivariate delta method):. Pi1 = .2. Pi2 = .1. Generate sample RR and calculate LRR and their C.I.s. X1 = rbinom(n = sim, size = n1, prob = pi1). X2 = rbinom(n = sim, size = n2, prob = pi2). VRR = (p1/p2) 2 * ( (1-p1)/(p1*n1) (1-p2)/(p2*n2) ). Here is the code:.

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Guest Lecturing in Graduate Courses. Awards Related to Teaching. Teaching Activities Through Other Media. Mentorship for New Teaching Assistants. My Training Towards Improving Teaching Techniques. Selected comments from anonymous students. Course lecturer in Epidemiology, Biostatistics and Occupational Health, McGill University. For a graduate course:. EPIB 591 Regression Analysis for Health Sciences. Sessional Instructor in Statistics. For an undergraduate course. Elementary Statistics for Applications.

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bio-statisticians.blogspot.com

biostatistics and epidemiology with R

Biostatistics and epidemiology with R. Wednesday, February 6, 2013. Weighted Logistic Regression in R, SPSS, Stata. We will use mtcars dataset to illustrate. (R version 2.5.1. Mtcars - as.data.frame(mtcars). Mtcars2 - mtcars[c(am, hp, wt, p)]. 160; am hp wt p. Mazda RX4 1 110 2.620 0.8901532. Mazda RX4 Wag 1 110 2.875 0.4601596. Datsun 710 1 93 2.320 0.9779983. Hornet 4 Drive 0 110 3.215 0.6889322. Sunday, March 4, 2012. Timevar - veteran[,3] .

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