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 |
|
|