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Shakeel Ahmed
เข้าร่วมเมื่อ 7 ต.ค. 2020
This channel is dedicated to exploring various statistical methods for data analysis using a range of statistical software. Through example-based explanations, it demonstrates practical implementations of statistical techniques in R, accompanied by clear interpretations of the results. Additionally, the channel offers valuable insights and tips on conducting research, writing impactful projects, and successfully publishing studies.
Zero-Inflated Poisson Model in R: Modeling Counts with Inflated Zeros
In this video I will discuss:
What is difference between "structural zeros and sampling zeros?
What is difference between zero-inflated and hurdle model?
How to apply zero inflated Poisson (ZIP) model in R?
How to apply zero inflated Negative Binomial (ZINB) model in R?
How to interpret results of count models?
How do we know whether to apply a zero inflated model or not?
What is difference between "structural zeros and sampling zeros?
What is difference between zero-inflated and hurdle model?
How to apply zero inflated Poisson (ZIP) model in R?
How to apply zero inflated Negative Binomial (ZINB) model in R?
How to interpret results of count models?
How do we know whether to apply a zero inflated model or not?
มุมมอง: 9
วีดีโอ
Negative Binomial Regression Model in R: Modeling Count Data with Over-dispersion
มุมมอง 92 ชั่วโมงที่ผ่านมา
How to model count data with over dispersion? How to apply negative binomial regression in R? What is the difference between negative binomial and Poisson regression?
Poisson Regression in R: Modeling Count Variables
มุมมอง 634 ชั่วโมงที่ผ่านมา
How to model count variables in R? How to implement Poisson regression for modeling count data ? How to interpret results in Poisson regression? How to test overall performance of model? How to test the presence of over-dispersion in data?
Ordinal Logistic Regression for Survey Weighted Data in R
มุมมอง 187 ชั่วโมงที่ผ่านมา
How to apply Ordinal logistic regression on survey weighted data in R? How to incorporate survey weights in ordinal logistic regression? How to interpret the results of survey weighted ordinal logistic regression?
Ordinal Logistic Regression in R with Interpretation of Results
มุมมอง 259 ชั่วโมงที่ผ่านมา
For Details: shakeelahmed2.wordpress.com/ How to perform ordinal logistic regression analysis in R? How to interpret the results of ordinal logistic regression? How to check association between the covariates and ordinal responses?
ROC ANALYSIS: Computing Area Under the ROC Curve
มุมมอง 1514 ชั่วโมงที่ผ่านมา
How to evaluate performance of diagnostic models in R? How to obtain area under ROC curve? How to obtain a threshold for predicted probability in R? #Threshold #Cutpoint #ROC #AUC #R #Diagnostic #nhanes
Odds-ratio : Survey Weighted, Adjusted for Covariates, Including Interactions and Sub-Group Analysis
มุมมอง 2716 ชั่วโมงที่ผ่านมา
How to obtain Odds ratio for survey weighted data? How to obtained Odds ratio after adjusting for covariates? How to include interaction terms in survey weighted analysis? How to estimate Odds ratio for sub-groups in case of survey weighted data? #oddsratio #interaction #surveydesign #surveyweighted #Covariateadjustment #logisticregression #svyglm
Assessing Association Between Exposure and Outcome Using Odds Ratio in R
มุมมอง 2319 ชั่วโมงที่ผ่านมา
How to assess association between two qualitative variable? How to quantify the effect of exposure on outcome in Case-Control Studies? How to report Odds ratio and P value in association studies using R? #Oddsratio #Outcome #exposure #healthstatistics #epidemiology #prevalence #association
Constructing Composite Outcomes (Endpoints) in Health Related Studies Using R
มุมมอง 2921 ชั่วโมงที่ผ่านมา
How to construct composite outcomes? How to construct count or ordinal outcomes? How to construct binary outcomes? Why constructing composite end point is important? #Compositeoutcome #Chronicconditions #Healthdatanalysis #datascience #Riskscore
Multiple Linear Regression with Survey Weighted Data in R
มุมมอง 18วันที่ผ่านมา
How to apply linear regression on survey weighted data in R? How to interpret coefficients in multiple linear regression? How to include interaction terms in R? How to do residual analysis in multiple linear regression? #residuals #qqplot #linearregression #surveydesign #interaction #exposure #outcome
How to perform t test on survey weighted data
มุมมอง 46วันที่ผ่านมา
How to perform a one sample t test for survey weighted data? How to perform a independent samples t test for survey weighted data? How to perform a paired samples t test for survey weighted data? How to construct confidence intervals for survey weighted data? survey #weighted #t_test #hypothesistestingwithonesample #hypothesistestingwithtwosamples
How to get survey weighted tabulation, cross-tabulation, and subpopulation estimates in R?
มุมมอง 42วันที่ผ่านมา
In this video you will learn How svy command is used R ? How to obtained survey weighted proportions? How to obtain survey weighted cross tables? How to obtain survey weighted Chi-square statistics? How to test association of two variables for survey weighted data? How to do subgroup analysis using survey weights ? Surveyweight #Tabulation #Proportion #subgroupanalysis #coding #nhanes #corsstab...
Descriptive Statistics Using Survey Weights in R: Health Survey Data Analysis
มุมมอง 6214 วันที่ผ่านมา
Why survey weights are used in statistical analysis? How to use svydesign function in R? How to obtain survey weighted mean, standard deviation and coefficient of variation (CV)? How to obtain survey weight quantiles including median? descriptivestatistics #survey-weighted #surveymean #svysd #svycv NHANES Healthsurveys #dataanalysis #R #Health #research
Descriptive Statistics for Categorical Variables: One-Way, Two-Way and Multi-Way Tables in R
มุมมอง 6314 วันที่ผ่านมา
How to make frequency and percentage tables in R? How to make two-way (interaction) tables? How test association between two or three categorical variables? How to publishable tables in R? Analyzing_categorical_variables #dataanalysis #R #Health #research
How to clean data for Statistical Analysis in R
มุมมอง 8614 วันที่ผ่านมา
In this tutorial I will show how to clean data including recoding, merging categories, looking for missing values and getting ready for data analysis. #dataanalysis #healthcare #survey #NHANES #R #Codes #RStatistics #Publication #tables #stata #easy#Recoding, #Repalcing, #merging categories and #frequency #r #health #Analysis
Lecture 09: Logistic Regression in R Analysis and Interpretation
มุมมอง 1722 ปีที่แล้ว
Lecture 09: Logistic Regression in R Analysis and Interpretation
Lecture 08: Linear Regression in R: Analysis and Interpretation
มุมมอง 802 ปีที่แล้ว
Lecture 08: Linear Regression in R: Analysis and Interpretation
Lecture 07: Testing Statistical Hypotheses in R: T-Test, Chi-Square Test, One Way and Two-way ANOVA
มุมมอง 2362 ปีที่แล้ว
Lecture 07: Testing Statistical Hypotheses in R: T-Test, Chi-Square Test, One Way and Two-way ANOVA
Lecture 06: Data Visualization Through Grammar of Graphics (GGPLOT2) in R - Part II
มุมมอง 562 ปีที่แล้ว
Lecture 06: Data Visualization Through Grammar of Graphics (GGPLOT2) in R - Part II
Lecture 05: Data Visualization Through Grammar of Graphics (GGPLOT2) in R - Part I.
มุมมอง 722 ปีที่แล้ว
Lecture 05: Data Visualization Through Grammar of Graphics (GGPLOT2) in R - Part I.
Lecture 04: Data Visualization Through Basic Graphics
มุมมอง 2352 ปีที่แล้ว
Lecture 04: Data Visualization Through Basic Graphics
Lecture 03: Recoding Data, Cross Tabulation, Chi-Square Test of Independence
มุมมอง 1142 ปีที่แล้ว
Lecture 03: Recoding Data, Cross Tabulation, Chi-Square Test of Independence
Lecture 02. Importing Data, Summary Statistics, Installing Packages
มุมมอง 1282 ปีที่แล้ว
Lecture 02. Importing Data, Summary Statistics, Installing Packages
How to Develop a Questionnaire on Google Form
มุมมอง 1342 ปีที่แล้ว
How to Develop a Questionnaire on Google Form
Zoom Recording 2: Tests and Interviews Preparation for Statistics Related Jobs
มุมมอง 1893 ปีที่แล้ว
Zoom Recording 2: Tests and Interviews Preparation for Statistics Related Jobs
Zoom Recording: Tests and Interviews Preparation for Statistics Related Jobs
มุมมอง 1363 ปีที่แล้ว
Zoom Recording: Tests and Interviews Preparation for Statistics Related Jobs
How to construct and interpret an Index Number (steps and types)
มุมมอง 1743 ปีที่แล้ว
How to construct and interpret an Index Number (steps and types)
Great sir
Very informative!
Very Useful ❤
Great Dear
Good initiative
Where do we find geostatistical maps of specific countries?
How did u take 0.7 as true proportion??
Can we use PCA on 2 likert scale questions
how to interpret results
How did you entered 70% prevalence into 0.7 as estimated true proportion?
The PCA is just confusing to me... But thanks anyway
Sir apna 1000 values R console ma kesa li ha y ko select kar ka kya press kiya ha
Just select Y and press ctrl+R.
How can I use the forward, backward, and stepwise methods in Poisson and Negative models (GLM) to eliminate insignificant variables?
Thank you!!
Thank you so much Sir 😊 Your video was a life saver for me as I was stuck in PCA 🥰☺
thank you for nice comment
Thankyou sir..💝
So sad dr
😍
Thanks for your presentation. Please in the case we use ordinal logit , should we report pearson correlation and omnibus test value? if it is the case, how to interpret them (for exemple, under or above p value, what it is the meaning). Also shoud we consider the sig level from the table 'Test of model effect' or 'Parameter Estimates' table to say that a relationship between the predictor and outcome variable is significant. I am really looking for ways to interpret, your answer will really help me. thanks.
😀 ρгό𝔪σŞｍ
sir can we assign label of "age less than 40" to value 1 in variable age.group?
Yes
kafi dino ma recoding command dnd raha tha ab mili ja kr very informative channel
very informative videos
👍
great sir
Great sir..
The background voice is disturbing.
I will check that
Great Dr Sahab
Great work Sir
Great Dr Shakeel
Great Dr sahab
Excellent 👍
Very good Dr sab...
👍 MashAllah
TYSM Dr sahib, It's good 👍
Thank you sir. I have a small doubt. In multinomial regression, what is the significance for ascending, descending or data
Such data can be treated as ordinal data and we can go for ordinal logistic regression
@@shakeelahmed6443 thank you. Here in multinomial regression, there is an option like this. Ascending / Descending. So its there any Significant ???
kindly data entry kasy krty hn ye b btyn
jU DR SAHIB
What would be entered then as an estimated population size? And what if the value/ number/ percentage of the population of a particular condition is not know or is not reported in previous studies?
You can set it to 10k.
What if the estimated population varies from 30-70% according to previous studies?
Are you talking about population size?
Sir agr ap online classes le rhe o Tu plz link share me
No I am not taking online classes.
@@shakeelahmed6443 thank you sir
AOA sir Sir ap online classes le rhe o
How to know Alpha, beta and gamma parameter o fexponential smoothing with SPSS