### 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 |