# Analyse-it 6.15 方法評估分析軟體-統計分析軟體/新永資訊有限公司

## Analyse-it 6.15 方法評估分析軟體

• Analyse-it 6.15 方法評估分析軟體
• 類別
統計分析軟體
• 介紹
Analyse-it 是一個方法評估分析軟體，檢驗科或者那些需要檢驗、核實分析診斷數據方法的研究員使用。Analyse-it 於 1997 年發布，並迅速成為 Microsoft Excel 中用於統計分析的領先外掛程式。它為 Microsoft Excel 帶來了易於使用的統計軟體，並在軟體中引入了一些最新的創新統計分析功能。此後，Analyse-it 與世界上一些最大的公司合作，並擁有無可挑剔的聲譽。事實上，透過Analyse-it 的聲譽，CLSI 聯絡該公司開發 StatisPro，這是用於 CLSI 方法驗證指南的統計軟體。

### Analyse-it 6.15 Methodology Evaluation Analysis Software

Analyse-it 5.65 to 6.15 Recent improvements
Probit regression
Fit Model now supports Probit regression. Probit regression is similar to logistic regression, as both use a link function to transform a linear model into a nonlinear relationship. A linear model uses the equation Y = α + β x, whereas both logit and probit equation use the form Y = f(α + β x). They only differ in the definition of the link function f(): the logit model uses the cumulative distribution function of the logistic distribution; the probit model uses the cumulative distribution function of the standard normal distribution. Both functions give a predicted probability, Y.
Health sciences, such as epidemiology, often use the logit model as the predictor coefficients are interpretable in terms of log odds-ratios. The probit model coefficients cannot be interpreted as easily but may produce a better fitting model in other scenarios. For example, in method validation, probit regression is used to model the hit rate of a molecular test. You can then use the model to establish a detection limit or determine diagnostic cut-off points from an underlying continuous response.
Transform
You can now apply a transformation to a variable during analysis. This feature is currently available on the Distribution and Fit Model (simple regressions) analysis, but it will be available in all analyses soon. To transform a variable, click the properties icon next to the variable selector drop-down, choose Transform, and then select the transformation function.
Diagnostic performance
A lot of customers buy Analyse-it for ROC analysis, as it has always lead the way in diagnostic test analysis (https://pubmed.ncbi.nlm.nih.gov/12600955/). We recently extended the Binary (Sensitivity/Specificity) test to allow testing equivalence and non-inferiority hypotheses tests. And, now you can calculate predictive values for different population prevalences – ideal for modelling the behavior of a test in different scenarios.
Method Comparison
Qualitative method comparison is now more prominent on the Method Comparison command menu, with clearer titles: Binary and Semi-Quantitative. We added Average agreement measures, which are useful when there is no reference/comparative method (for example when comparing laboratories or observers). There is also an excellent new plot for visualizing agreement between qualitative methods: the Bangdiwala agreement plot.

All the features
Built for CLSI protocols
The latest Clinical and Laboratory Standards Institute (CLSI) method validation protocols are recognized by the College of American Pathologists (CAP), The Joint Commission, and the US Food and Drug Administration (FDA).
Validate and verify measurement system performance characteristics
It’s essential to ensure the performance characteristics (precision, trueness, linearity, interferences, detection capability) of a measurement procedure meet the requirements for intended use. Manufacturers (IVD companies) must establish performance during product development to feedback into the development process, for FDA 510k submissions and product marketing, and to support customers in the field. Laboratories must verify they can achieve the manufacturer's claimed performance during implementation of a new measurement system, during regulatory inspections (under the CLIA ’88 act), and as part of proficiency testing (PT) schemes. Measurement systems analysis (MSA) lets you determine all these important performance characteristics in one analysis.
Examine diagnostic test performance to find the most effective
Rated best ROC curve software in Clinical Chemistry March 2003 vol. 49 no. 3 pg. 433-439, Analyse-it lets you establish and compare the ability of a diagnostic test to correctly diagnose patients. Explore how the test differentiates between positive and negative cases and explore optimum decision thresholds factoring in the costs of misdiagnosis.
Compare methods and evaluate the impact of making changes
When introducing a new measurement procedure you want to see how it stacks-up against your existing procedure or evaluate its performance against the gold-standard. Bland-Altman lets you see the agreement between methods and what effect the differences between methods might have on clinical interpretation. More advanced procedures like Deming regression and Passing-Bablok tell you the bias between methods, how medical decision points may be affected, and let you test if bias meets performance requirements.
Establish reference intervals to make clinical diagnoses
Reference intervals are essential for clinicians to interpret results and make a diagnosis. As a laboratory it's your job to provide normal reference ranges they can rely on. With the widest range of methods available in any software package, the ability to partition the intervals by factors such as sex, age, ethnicity, Analyse-it makes it easy to establish reference ranges or transfer them to a new measurement procedure.
Bring processes under statistical control
Gain insight and improve process performance with Shewhart variable and attribute, CUSUM, and moving average control charts (EWMA & UWMA). Apply WECO, Nelson and Montgomery rules to help identify possible out of control situations. Use stratification to gain further insight into problems and spot trends and patterns. And when you've implemented improvements, or made other changes, phases let you track performance before and after so you can ensure improvements have been made and are sustained.
Ensure products are meeting end-user specifications
Determine process capability indices for process performance to ensure you deliver products that meet your customers’ requirements. A happy customer means fewer rejected goods and service complaints, improving your business and lowering costs.
Identify improvements that will reap the most rewards
Pareto analysis helps you quickly identify commonly occurring defects so you can focus your efforts making improvements that will reap the most rewards. Stratification lets you break-down defects so you can identify contributing factors, such as an operator that is influencing defect rates, or look at defects before and after process improvements to ensure the changes are reducing defects.
Integrated into Microsoft Excel, so it's easy to use...
That's right. Analyse-it integrates into Microsoft Excel 2007, 2010, 2013, 2016, 2019 and Office 365 for Microsoft Windows. There's virtually no learning curve, and the intuitive user interface and logical task-based workflow makes sense to those of us that aren’t programmers or full-time statisticians.

### Analyse-it 系統需求

OS:
Microsoft Windows Vista, 7, 8, 10, Server 2003, 2008, 2012, & 2016 or later
RAM:

2GB RAM minimum recommended
HD:
80MB disk space
OTHER:
Microsoft Excel 2007, 2010, 2013, 2016, 2019 and Office 365 (桌面安裝版本)

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### Analyse-it 6.15 方法評估分析軟體

Analyse-it 5.65 到 6.15 的改進

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