Pricing

Tabulation of analysis costs

Test-wise costing of statistical analysis (stratified into Indian rupees and US dollars)

Analysis Cost (Rupees) Cost (US Dollar) Nature of analysis
Without narratives With narratives Without narratives With narratives
Data cleaning, coding, labeling &
creatingdummy/ secondary variables
2000 80
Descriptive statistics:simple/stratified
(per 5 variables)
250 500 10 20 See tests below
Mean, median, mode; Standard deviation, standard error, range, interquartile range; Various percentiles, minimum and maximum values; 95% confidence interval estimates for point estimates; Measures of skewness and kurtosis; Tests for testing assumptions of normality or Gaussian distribution (Shapiro Wilks test, Kolmogorov Smirnov test,Q-Q plots)
Univariate statistics
Parametric tests 200/ test 350/test 10/ test 15/test See tests below
Independent samples t-test (for comparison of a quantitative outcome between two groups); Paired t-test (for pre-test and post test comparison/baseline & follow up comparison of a quantitative variable); One-way ANOVA (for comparison of a quantitative outcome between > two groups); Pearson Correlation Coefficient (for correlation of two quantitative outcomes)
Non-parametric tests 200/ test 350/test 10/ test 15/test See tests below
Mann-Whitney U test/Wilcoxon rank sum test (for comparison of a quantitative outcome between two groups); Wilcoxon signed rank test/sign test (for pre-test and post test comparison/baseline & follow up comparison of a quantitative variable);Kruskal Wallis test (for comparison of a quantitative outcome between > two groups); Spearman Correlation Coefficient (for correlation of two quantitative outcomes); Association between two categorical/nominal variables (Chi-square test & its variants)
Effect size measures 250 500 10 20 See tests below
Univariate odds ratio (OR); Univariate relative risk (RR); Incidence rate ratios (IRR); Standardized mean difference
Diagnostic accuracy
measures
500 1000 20 40 See tests below
Sensitivity, Specificity, Positive and Negative predictive values; Likelihood ratios for positive and negative test, overall diagnostic accuracy, Area under curve (AUC)
Multivariate testing
Each regression model 1000 2000 40 80 See tests below
Linear regression; Logistic regression; ROC curve analysis; Survival analysis (including Kaplan Meier & Cox proportional Hazard analysis); Poisson regression; Linear mixed modeling; Generalized estimating equations (GEE); Generalized mixed modeling; Repeated measure ANOVA; Factorial ANOVA; Reliability testing & Factor analysis
Sample size estimation 500 1000 20 40
Power of study 500 1000 20 40
Meta-analysis for:
Prevalence studies 5000 10000 250 500
RCTs/case control studies/comparative cohort studies 7500 15000 350 750
Diagnostic accuracy studies 5000 10000 250 500
Complete protocol/synopsis writing 10000 500 See row
below
Aims and Objectives, study design, methodology, sample size estimation and statistical analysis plan
Complete protocol/synopsis writing 20000 1000 See row
below
Introduction, review of literature, aims and Objectives, study design, methodology, sample size estimation, statistical analysis plan and references
Developing end note library for references management
Up to 50 references 5000 250
Up to 100 references 7500 500
>100 references 10000 750
Computations of figures/ Graphs (not included in routine outputs) 100/figure 5/figure
Critical review of a general club article 2500/article 100/article
Peer-review of submitted research paper 2500/article 100/article