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Dr. Mahmoud Omar (Statistics)
United Kingdom
Приєднався 5 жов 2020
Step by step description and explanation of how to analyse data in SPSS, Excel, Jamovi, GraphPad Prism, R statistic, Review Manager, G*power, JMP, Python, UNIX and STATA software.
Assumptions for Chi square Goodness of fit test
Chi-Square Goodness-of-Fit test, Single sample, nonparametric test, One-sample goodness-of-fit test, Pearson's chi-square goodness-of-fit test, statistical method, observed frequencies, expected frequencies, single categorical data, distribution, variable, category, count, items, null hypothesis, equation, p-value, assumptions, categorical data, count, frequency, random sampling, independence of observations, expected frequency, category, sample size, mutual exclusive categories, counts or frequencies, discrete data, binomial, binary, dichotomous, nominal, ordinal, random sampling
Переглядів: 62
Відео
Binary logistic regression with continuous predictor in SPSS
Переглядів 9914 днів тому
Dependent, sample, P-value, hypothesis testing, alternative hypothesis, null hypothesis, statistics, categorical variable, continuous variable, assumptions, standard deviation, standard error, mean, dependent variable, independent variable, grouping variable, descriptive statistics, significance, one sided tail, two sided tails, 95% confidence interval, upper, lower, average, exposure, explanat...
Assumptions for unpaired independent or paired dependent student's t test
Переглядів 7328 днів тому
Assumptions, Unpaired two samples t-test, Independent t-test, Student’s T-test, unpaired two sample test, means, unrelated groups, variables, Independent variable, Dependent variable, Continuous variable, population means, continuous scale, Interval, Ratio, categorical groups, categories, Independence of observations, outliers, Inter Quartile Range (IQR), Z-score, Box-plot, Normal distribution,...
Assumptions for binary logistic regression
Переглядів 140Місяць тому
Binary, logistic, regression, method, relationship, outcome, predictor(s), dependent, response, variable, variable, categories, predictors, continuous, interval, ratio, ordinal, assumptions, statistical test, results, violation, findings, unreliable, incorrect conclusions, independence of observations, repeated measurements, linearity of logit for predictors, linearity of log-odds, linear, Box-...
Binary logistic regression with binary predictor in SPSS
Переглядів 136Місяць тому
Dependent, sample, P-value, hypothesis testing, alternative hypothesis, null hypothesis, statistics, categorical variable, continuous variable, assumptions, standard deviation, standard error, mean, dependent variable, independent variable, grouping variable, descriptive statistics, significance, one sided tail, two sided tails, 95% confidence interval, upper, lower, average, exposure, explanat...
Assumptions for paired dependent two sample t test
Переглядів 99Місяць тому
Paired t-test, dependent, related t-test, mean, paired observations, H0, HA, P-value, assumption, dependent variable, continuous, interval, ratio, categorical related groups, independent variable , categorical groups, related groups, paired, normality, histogram, Q-Q plot, box plot, statistics, Shapiro-Wilk test, Kolmogorov-Smirnov test , Anderson-Darling test, Wilcoxon Signed Rank test, non-pa...
Assumptions for Unpaired two samples t test
Переглядів 1672 місяці тому
Assumptions, Unpaired two samples t-test, Independent t-test, Student’s T-test, unpaired two sample test, means, unrelated groups, variables, Independent variable, Dependent variable, Continuous variable, population means, continuous scale, Interval, Ratio, categorical groups, categories, Independence of observations, outliers, Inter Quartile Range (IQR), Z-score, Box-plot, Normal distribution,...
Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis
Переглядів 4166 місяців тому
nalyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, Re...
Exploratory Factor Analysis EFA versus Confirmatory Factor Analysis CFA
Переглядів 3406 місяців тому
Analyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, R...
Meta analysis Hazard Ratio Odds Ratio Risk ratio Standardized Mean Difference in Review Manager
Переглядів 4176 місяців тому
Systematic review, Meta-analysis types, Subgroup meta-analysis, Heterogeneity test, Egger’s regression, Sensitivity analysis, Forest plot, Funnel plot, Effect size, PRISMA, Hedges’ g, Cohen’s d , OR, RR, Rate, Correlation, Fixed effects, Random effects mode, (I2), Overall effect size, Single group meta-analysis, Two group meta-analysis, Multiple group meta-analysis, Proportional meta-analysis, ...
Meta analysis for continuous outcome using Standardized Mean Difference SMD in Review Manager RevMan
Переглядів 7647 місяців тому
Systematic review, Meta-analysis types, Subgroup meta-analysis, Heterogeneity test, Egger’s regression, Sensitivity analysis, Forest plot, Funnel plot, Effect size, PRISMA, Hedges’ g, Cohen’s d , OR, RR, Rate, Correlation, Fixed effects, Random effects mode, (I2), Overall effect size, Single group meta-analysis, Two group meta-analysis, Multiple group meta-analysis, Proportional meta-analysis, ...
Meta analysis for Binary outcome based on Risk Ratio RR in Review Manager RevMan
Переглядів 2297 місяців тому
Subgroup, meta-analysis, binary, outcome, Risk ratio, effect size, estimate, statistical method, summary, pairwise group, results, multiple studies, clinical, research, medial, clinical trials, overall, pooled, intervention, treatment, exposure, control, reference, unexposed, event, probability, data, variability, heterogeneity, inconsistency, categorical, variable, binomial, dichotomous, level...
Meta analysis binary outcome odds ratio in Review Manager RevMan
Переглядів 4797 місяців тому
Subgroup, meta-analysis, binary, outcome, Risk ratio, effect size, estimate, statistical method, summary, pairwise group, results, multiple studies, clinical, research, medial, clinical trials, overall, pooled, intervention, treatment, exposure, control, reference, unexposed, event, probability, data, variability, heterogeneity, inconsistency, categorical, variable, binomial, dichotomous, level...
Assumptions for Factor Analysis FA
Переглядів 2527 місяців тому
Factor analysis, constructs, components, factors, reduction, method, technique, mathematical, items, questions, questionnaire, survey, Likert scale, group, rotation, oblique, orthogonal, varimax, promax, Explore, exploratory, scale, instrument, assessment, loading, measure, descriptive, univariate, correlation matrix, coefficients, determinant, KMO Bartlett’s test, unrotated, scree plot, extrac...
Assumptions for Confirmatory Factor Analysis CFA
Переглядів 4278 місяців тому
Confirmatory Factor analysis, CFA, questionnaire, scale, Likert scale, survey, data, factor analysis, EFA, latent factors, underlying structure, variables, data, complex approach, tests, hypothesis, items, associated, specific factors, relationships, observed variables, underlying latent factors, confirm, disconfirm, factor structure, data fit, hypothesized model, impose, number of factors, val...
Assumptions for Exploratory Factor Analysis EFA
Переглядів 2548 місяців тому
Assumptions for Exploratory Factor Analysis EFA
Principal Component Analysis PCA Assumptions
Переглядів 4148 місяців тому
Principal Component Analysis PCA Assumptions
Statistical methods for Analysis of Survey data Likert scale
Переглядів 6948 місяців тому
Statistical methods for Analysis of Survey data Likert scale
Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis
Переглядів 2848 місяців тому
Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis
Confirmatory Factor analysis CFA questionnaire data
Переглядів 8869 місяців тому
Confirmatory Factor analysis CFA questionnaire data
Change column size when typing in Excel
Переглядів 2259 місяців тому
Change column size when typing in Excel
Principal Component Analysis PCA Exploratory Factor Analysis EFA
Переглядів 7919 місяців тому
Principal Component Analysis PCA Exploratory Factor Analysis EFA
Selecting Cases Values from variables in SPSS
Переглядів 1,3 тис.10 місяців тому
Selecting Cases Values from variables in SPSS
Selecting Variables from Dataset in SPSS
Переглядів 36710 місяців тому
Selecting Variables from Dataset in SPSS
Meta Analysis using Hazard ratio in Review manager RevMan
Переглядів 1,8 тис.10 місяців тому
Meta Analysis using Hazard ratio in Review manager RevMan
Principal Component Analysis and Factor Analysis
Переглядів 25910 місяців тому
Principal Component Analysis and Factor Analysis
Factor analysis FA versus principle component analysis PCA
Переглядів 35211 місяців тому
Factor analysis FA versus principle component analysis PCA
Principal Components Analysis for questionnaire data
Переглядів 52011 місяців тому
Principal Components Analysis for questionnaire data
Dear respected sir salute to you sir I became clear about binary logistic regression through your you tube videos. Thank you sir
thanks you
is it really an inverted funnel shaped or is it triangle shaped? I think it should be called triangle plot rather than a funnel plot. who can see the funnel. why do people make things complicated?
This was extremely helpful for me! Thank you.
excellent
Hi, your video is very great, but how do I see the post hoc result of job*salary? the post hoc results only show the job and salary seperately
Thank you so much for this!!! Straight to the point and so helpful!
Please introduce more functions under the Meta package, especially these functions: label.right, label.left, label.e, label.c, these functions are more important than changing the color of the summary effect line, diamond and the effect size square of each study.
When I type Studylab = studyID, it said 'object not found', how can I resolve this?
Excellent and really very explanatory sir...Thank you Sir
The ratio of variance has to be compared to which value
How to find the p values?
this is very helpful, thank you!!
الله يعطيك العافية دكتور جدا مفيد الشرح. انا طالبة ماجستير وعندي سؤال بخصوص الcompetitive elisa. الdata عندي محتاجة trendline ولكن الpolynomial model عم يعطيني الكثير من الinvalid solutions. ممكن استخدم ال exponential model ؟
Clear and direct to the point👍
how to we get P value
its wonderful for me. thank u sir for making such kind of video
is there a way to adjust the text size?
Hi Dr. Omar. Thank you for this video. Simplified and very helpful
Thankyou!
Thanks a lot Dr.! I got what I miss many times
Nicely explained
الله يسعدك ويحفظك يا دكتور ، أنا طالبة ماجستير من الصين وبحثي يحتاج analysis شكرا ساعدتني ❤
Good to.hear that
Thanks for your great organized, informative and stick to the point explanation!
Thank you so much. This has really been helpful.
Can you give me your number to contact
ممتاز وأفضل شرح وجدته على Cox proportional hazards regression analysis .. جزاك الله خير
WHERE DID YOU FIND THE TABLE OF STANDARD DIS
You should have introduced problem examples
Can I ask how do I analyze a standard curve if there are no concentrations and instead only a dilution factor. And do I back calculate samples to it
Thanks dr.
💖💖👌👌👌👌👌👌
Hi Dr. Mahmoud, thank you for the guide. I have a question, at timestamp 6:17 , is it necessary to delete the previous values and labels, and redo it?Is it possible to just edit the previous and click OK to update it? As in will it affect how SPPS registers/processes the reverse coding request?
You are my hero
Thanks. This was very useful. How do we change the scale of X axis. I have a data sets where I want to estimate the survival curve in terms of hours and not days as survival time. Will appreciate if you can guide on this. Instead of “days” as time interval in the X axis, I want to change the scale to “hours” instead of “days”. Thanks a lot
Where do we get ur notes
Thank you very much
THANK DR, but too short... plz make it broader
very clear explanation, thank you so much!
pls how did you calculate the p?
simple and good information sir
thank you for you great contribution to the community
thank you for this
could you send /upload video for egger's regration test with how to do it, and for trim and fill
Thanks ! it is really helpful
Very nice Dr.
Thanksso much for the useful guide
Dr. Really I appreciate you sharing those wonderful introduction part of meta analysis. Thank you so much!!
YESS!!!!!
Thanks 🙏